Brain-Computer Systems Engineer

2 days ago


Fremont, California, United States Neuralink Full time
Company Overview

Neuralink is creating the future of brain-computer interfaces, building devices that have the potential to help people with paralysis regain mobility and independence. Our mission is to deliver a product that gives people with paralysis the ability to control computers and phones with their minds at the same speed and functionality level as able-bodied people can.

Job Title and Salary

We are hiring an experienced Machine Learning Engineer to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality. This full-time position offers a competitive salary range of $159,000-$309,000 USD per year, including equity and benefits.

Key Responsibilities
  • Develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of our BCI technology.
  • Lead the team by performing at a high standard and setting the bar for how we build and operate our systems.
  • Mentor others in achieving engineering excellence and be a catalyst on the team.
  • Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Requirements
  • Master's or Ph.D. degree in Computer Science, Electrical Engineering, Data Science, or a related field.
  • Evidence of delivering high-impact projects to users or businesses with clear metrics.
  • Prior experience designing, building, and shipping Machine Learning products for end-users.
  • Deep understanding of machine learning concepts.
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders.
  • Excellent communication and collaboration skills.
  • Strong coding skills, with a focus on clean, efficient, and scalable code development.


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